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MeilinaR/README.md

Hi, I am Meilina ๐Ÿ‘‹๐Ÿผ

I am currently a Data & AI Consultant at inin, where I am spearheading data strategy initiatives and delivering data science solutions for clients in (mostly) the public sector. Pleasure to e-meet you! I have a background in artificial intelligence and data science, and I am particularly drawn to meaningful applications of data and software engineering for social good, education, and (bio)medicine. My primary interests are in the field of AI Safety + the application of AI in the life and natural sciences.

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  1. aml aml Public

    Towards Improved Meta-Learned Optimizers: Investigating the effect of L2-regularization on learned meta-optimizers. Research done for the AML course in Fall 2021/2022.

    Python

  2. NoahVl/Explaining-In-Style-Reproducibility-Study NoahVl/Explaining-In-Style-Reproducibility-Study Public

    Re-implementation of the StylEx paper, training a GAN to explain a classifier in StyleSpace, paper by Lang et al. (2021).

    Jupyter Notebook 35 8